image/svg+xml
model II
fixed airspeed (m s-1)
0.125
0.25
0.5
0.75
1.0
1.25
1.5
1.75
2.0
2.25
2444
1902
1103
574
236
55
45
261
882
2246
1988
1657
2035
1663
1202
942
1889
1454
895
600
459
1760
1268
684
373
232
161
1651
1132
527
231
109
1556
1013
424
144
32
1478
908
341
100
119
140
144
159
1414
832
285
78
25
289
356
430
530
1395
806
268
142
113
193
392
564
696
823
902
998
251
145
242
375
617
870
1045
1230
1424
1637
250
146
254
613
1166
1506
1734
1997
2272
2588
52
57
46
11
33
31
23
44
90
90
146
237
0.5
0.75
1.0
1.25
1.5
1.75
2.0
2.25
2.5
2.7
3.0
model I
(gpref > airmax not simulated)
A
1373
776
1374
776
2044
1633
1013
1932
1470
831
439
1802
1300
650
317
179
1691
1155
511
227
130
181
1594
1043
422
175
88
134
284
1522
965
384
129
42
73
97
133
173
1514
969
383
128
31
7
0
2
6
9
15
25
1518
967
384
129
32
7
0
2
6
9
14
25
1511
970
384
129
32
7
0
2
6
9
14
25
385
130
28
6
5
2
6
9
14
25
386
131
28
6
5
2
6
9
14
25
0
1
2
0.25
0.5
0.75
1.0
1.25
1.5
1.6
1.7
1.8
1.9
2.0
preferred longitudinal groundspeed, gpref (m s-1)
0.5
0.75
1.0
1.25
1.5
1.75
2.0
2.25
2.5
2.7
3.0
maximum airspeed, airmax (m s-1)
0.125
C
1512
963
1509
961
model III
model IV
fixed airspeed (m s-1)
0.125
0.25
0.5
0.75
1.0
1.25
1.5
1.75
2.0
2499
2042
1111
559
226
40
42
263
876
2.25
(gpref > airmax not simulated)
B
D
0
1
2
model II PDF
model III PDF
model IV PDF
0.125
0
1
2
0
1
2
3
0.25
0.5
0.75
1.0
1.25
1.5
1.6
1.7
1.8
1.9
2.0
preferred longitudinal groundspeed, gpref (m s-1)
model I PDF
0
1
2
maximum airspeed, airmax (m s-1)
windspeed along trajectory (m s-1)
windspeed along trajectory (m s-1)
windspeed along trajectory (m s-1)
windspeed along trajectory (m s-1)
-1
-1
-1
-1
groundspeed along trajectory (m s-1)
Supplemental Fig. 5. Interactive figure to illustrate how each model's parameters influences fit to the field data. This file is hosted at https://kateleitch.github.io, or download the file (S5_interactive.svg) and open in a web browser. (A) Heat map of model I's intra-model log Bayes factors, as in Supplemental Fig. 3A, here with mouseover functionality. Move the computer mouse cursor over the cells to see how each parameter pair affects the probability density function (PDF) generated by model I (below). (B) Move cursor over fixed-airspeed values to see their effect on model II. (C) Move cursor over parameter pairs to see their effect on model III. (D) Move cursor over fixed-airspeed values to see their effect on model IV.
Supplemental Fig. 5. Interactive figure to illustrate how each model's parameters influences fit to the field data. This file is hosted at https://kateleitch.github.io, or download the file (S5_interactive.svg) and open in a web browser. (A) Heat map of model I's intra-model log Bayes factors, as in Supplemental Fig. 3A, here with mouseover functionality. Move the computer mouse cursor over the cells to see how each parameter pair affects the probability density function (PDF) generated by model I (below). (B) Move cursor over fixed-airspeed values to see their effect on model II. (C) Move cursor over parameter pairs to see their effect on model III. (D) Move cursor over fixed-airspeed values to see their effect on model IV.
Supplemental Fig. 5. Interactive figure to illustrate how each model's parameters influences fit to the field data. This file is hosted at https://kateleitch.github.io, or download the file (S5_interactive.svg) and open in a web browser. (A) Heat map of model I's intra-model log Bayes factors, as in Supplemental Fig. 3A, here with mouseover functionality. Move the computer mouse cursor over the cells to see how each parameter pair affects the probability density function (PDF) generated by model I (below). (B) Move cursor over fixed-airspeed values to see their effect on model II. (C) Move cursor over parameter pairs to see their effect on model III. (D) Move cursor over fixed-airspeed values to see their effect on model IV.